Data Engineer, commodities trading house

Data Engineer, internationally distributed commodity trading house. SQL, Power BI, Spark, MQ, MongoDB, Hadoop, Python, real time trade feeds and reporting capabilities.

This rapidly growing and evolving cross asset commodity trading business is looking for a data engineer to join to be their first data engineering focussed hire. Therefore this is a good opportunity for someone who wants to join a business where they can really make their mark and grow their career with the business whilst influencing the data technology direction of the business. The technologies of interest to the team for this role at present include SQL, Power BI, Spark, RabbitMQ (or similar), MongoDB, Hadoop (or similar) and Python (or similar). The team don’t need expertise in all of these but experience of as many as possible is obviously a plus.

The team have an almost ‘limitless’ supply of work for this hire, initially the main priority will be to integrate trade feeds from a number of trading systems using RabbitMQ, they also need this person to participate in data warehouse build out, real time reporting capabilities and many other projects. This is a greenfield site and they are looking for someone to come in and take ownership, a rare opportunity in a business like this.